Package: bayesQRsurvey
Title: Bayesian Quantile Regression Models for Complex Survey Data
        Analysis
Version: 0.2.2
Authors@R: 
    c(
        person("Tomás", "Rodríguez Taborda", email = "torodriguezt@unal.edu.co", role = c("aut", "cre")),
        person("Johnatan", "Cardona Jiménez", email = "jcardonj@unal.edu.co", role = "aut"),
        person("Marcus L.", "Nascimento", email = "marcus.lavagnole@fgv.br", role = "aut"),
        person("Kelly Cristina", "Mota Gonçalves", email = "kelly@dme.ufrj.br", role = "aut")
    )
Description: Provides Bayesian quantile regression models for complex survey data 
    under informative sampling using survey-weighted estimators. Both single- and 
    multiple-output models are supported. To accelerate computation, all algorithms 
    are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and 
    are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> 
    and Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
License: MIT + file LICENSE
LazyData: true
LazyDataCompression: gzip
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Imports: Rcpp, stats, graphics, methods, pracma, ggplot2, rlang,
        posterior
Suggests: MASS, knitr, rmarkdown, grDevices, testthat (>= 3.0.0)
Config/testthat/edition: 3
SystemRequirements: BLAS, LAPACK
URL: https://github.com/torodriguezt/bayesQRsurvey
BugReports: https://github.com/torodriguezt/bayesQRsurvey/issues
NeedsCompilation: yes
Packaged: 2026-04-06 07:48:36 UTC; torodriguezt
Author: Tomás Rodríguez Taborda [aut, cre],
  Johnatan Cardona Jiménez [aut],
  Marcus L. Nascimento [aut],
  Kelly Cristina Mota Gonçalves [aut]
Maintainer: Tomás Rodríguez Taborda <torodriguezt@unal.edu.co>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-04-06 19:00:15 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 14:40:38 UTC; unix
Archs: bayesQRsurvey.so.dSYM
